According to a recent LinkedIn post from Liquid AI, the company’s LFM2-VL-3B vision-language model has been deployed in orbit on DPhi Space’s Clustergate-2 satellite platform. The post highlights that the model was prompted to describe an Earth image from space and produced a detailed, humanlike description of the planet’s oceans, clouds, and landmasses.
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The post suggests that Liquid AI views this as evidence that orbital infrastructure is becoming more programmable, accessible, and intelligent. For investors, this may indicate emerging commercial opportunities at the intersection of AI and space-based data processing, potentially positioning Liquid AI as a differentiated player in on-orbit computation and real-time Earth observation analytics.
The collaboration with DPhi Space could also signal a strategic move toward partnerships with satellite and aerospace operators, which may expand the addressable market beyond traditional enterprise AI use cases. If such partnerships scale, Liquid AI could benefit from recurring revenue tied to space infrastructure, though the nascent nature of the market implies that revenue timing and magnitude remain uncertain.
More broadly, the post underscores a trend toward moving AI workloads closer to where data is generated, rather than relying solely on ground-based cloud infrastructure. This direction, if sustained, could enhance Liquid AI’s reputation among investors as a company focused on edge AI for highly constrained environments, a segment that may command premium valuations if adoption accelerates in the space and defense sectors.